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How to Use the AI21 Studio MCP in Claude Code

Connect Claude Code to AI21 Studio to automate text embeddings, grammar checks, and Jamba model completions straight from your terminal.

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Claude Code

Connect AI21 Studio MCP to Claude Code

Create your Vinkius account to connect AI21 Studio to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Terminal-Native Jamba Completions

The `chat_completion` tool connects your CLI workflows directly to Jamba-1.5-large and Jamba-1.5-mini models. You can pipe a massive server log into Claude Code, and it will feed the context to Jamba to diagnose backend failures without ever opening a browser. For simpler generation tasks in your bash scripts, the `text_completion` tool handles standard text outputs. You run a single headless command, and the agent writes the response straight to standard output or redirects it into a new file.

Automated Grammar and Rewrites

Through this MCP Server, the `grammar_corrections` tool lets you build a git pre-commit hook that automatically checks your documentation for errors. Claude Code reads the staged files, runs the Grammatical Error Correction, and fails the build if the text is sloppy. If you need to standardize release notes, the `paraphrase` tool handles the heavy lifting. Pass your rough commit messages to the agent, tell it to use the formal style, and it outputs a clean, unified changelog ready for production.

AI21 Studio MCP Server for Embeddings

The `embed_texts` tool takes a JSON array of queries or documents and returns vector representations instantly. You can script Claude Code to read a directory of markdown files, generate embeddings, and push them to a vector database on a nightly cron job. To prep the data before embedding, the agent calls the `segmentation` tool to split raw text into clean sentences. If the files are too large, it hits the `summarize` tool first to shrink the payload down to fit strict API limits.

Setup guide

Set up AI21 Studio MCP in Claude Code

Prerequisites

  • Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Run the add command

    Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.

  2. 2

    Verify the connection

    Start a Claude Code session and type /mcp to list connected servers. You should see ai21-studio-mcp with a green status indicator.

  3. 3

    Start using tools

    Ask Claude Code something like "Check my latest AI21 Studio transactions." It will automatically discover and invoke the available AI21 Studio tools.

Terminal
claude mcp add --transport http ai21-studio-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Common questions about AI21 Studio MCP in Claude Code

Run claude mcp add --transport http ai21-studio -- in your terminal. The configuration saves automatically to your ~/.claude.json file.
You can run the agent in headless mode within a GitHub Action. It will connect to the endpoints, process your text files, and exit with standard status codes.
The server exposes the summarize endpoint specifically for this reason. Claude Code reads your massive log dumps and shrinks them down before passing the data to other analytical tools.
You can request general, casual, formal, long, or short styles. The agent passes this parameter to the paraphrase tool and prints the rewritten text directly to your terminal.
The specific shell outputs, markdown files, and git commits you pipe into the agent are sent to AI21's API. Vinkius handles the routing through an ephemeral V8 Isolate Sandbox, tearing down the connection the moment your terminal script finishes executing.

Start using the AI21 Studio MCP today

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Built & Managed by Vinkius 30s setup 7 tools

We've already built the connector for AI21 Studio. Just plug in your AI agents and start using Vinkius.

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